Research on Source-Load Collaborative Planning Method of Active

Distribution Network Based on DG Initialization Site Selection

Xuan Yang

, Junhai Wang

, Gang Wang

, Mingchang Wang

, Lin Chen

and Chendan Dong

State Grid Hangzhou Power Supply Company, Hangzhou, Zhejiang, China

Hangzhou Guodian Electrical Power Technology Development Co., Ltd, Hangzhou, Zhejiang, China

Keywords: Data Mining Theory, DG Initialization Site Selection, Collaborative Planning Approach, Distribution

Network, Mesh Load.

Abstract: At this critical juncture of the energy transition, distributed energy resources (DG) are springing up. DG

initialization and siting have become a major issue in power system planning. It involves not only the efficient

use of energy and the stability of the network, but also the balance between economic costs and environmental

impacts. Therefore, source-grid-load collaborative planning has become a key step in realizing the intelligence

of active distribution networks.

1 INTRODUCTION

First of all, we need to recognize that DG does not

exist in isolation, and its value is reflected in its

interaction with the grid (Zheng and Xuan, et al.

2023). The traditional power grid is a passive

transmission system, but when the DG is properly

initialized and situated (Zhou and Hu, et al. 2023), the

entire network is transformed into an intelligent

system that can proactively respond to changes in

demand and supply (Lin and Yan, et al. 2023). This

shift means greater energy efficiency, greater system

stability, and more flexibility in the market.

2 RELATED CONCEPTS

2.1 Mathematical Description of DG

Initialization Siting

Next, we need to explore how to do an effective DG

initial site selection. This process involves complex

data processing and model analysis, including but not

limited to load forecasting, variability assessment of

renewable energy (Liao and Zhang , et al. 2023),

analysis of network constraints, etc. With the support

of advanced algorithms and optimization techniques

(Jin, 2023), we can ensure that the layout of the DG

meets the economic, technical and environmental

requirements to the greatest extent.

)

In addition, we need to consider social factors.

The location of DG should avoid densely populated

areas as much as possible to reduce the impact on

residents' lives.

)

At the same time, considering that the

development of DG may change the local

employment structure and economic model, we need

to actively cooperate with local governments and

communities at the planning stage to ensure that the

project can be widely accepted and supported by the

society (Lei and Wu, et al. 2023).

Of course, technological innovation is the core

driving force for the development of DG (Liu Ying,

Song Limin, et al. 2023). Whether it is the

breakthrough of energy storage technology, the

application of cloud computing and big data, or the

combination of the Internet of Things and artificial

intelligence, it provides the possibility for the

efficient operation of DG (Zhu and Liu, et al. 2023).

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Yang, X., Wang, J., Wang, G., Wang, M., Chen, L. and Dong, C.

Research on Source-Load Collaborative Planning Method of Active Distribution Network Based on DG Initialization Site Selection.

DOI: 10.5220/0013545500004664

Paper published under CC license (CC BY-NC-ND 4.0)

In Proceedings of the 3rd International Conference on Futuristic Technology (INCOFT 2025) - Volume 1, pages 457-462

ISBN: 978-989-758-763-4

457

In the context of source-grid-load coordination, these

technologies not only optimize the allocation of

resources, but also improve the adaptive ability of the

system.

(3)

2.2 Selection of Collaborative Planning

Methods

Finally, let's look to the future. With the access of new

loads such as electric vehicles and smart homes, DG

and its distribution network will become more

complex and changeable (Guo, 2022). However, as

long as we adhere to the scientific source-grid-load

collaborative planning, and continue to explore and

innovate, we can ensure the sustainability, safety and

flexibility of the power system and welcome the

arrival of the smart grid era.

(4)

In summary, the active distribution network

source-grid-load collaborative planning of DG

initialization and site selection is a multi-dimensional

and interdisciplinary work, which requires us to

comprehensively consider technical, economic,

social and environmental factors (Zhang and Lei, et

al. 2022). Through careful planning and

implementation, we can ensure the optimal allocation

of DG resources and lay a solid foundation for

building an efficient, green and reliable future power

grid.

(5)

In today's fast-paced economic environment, the

initialization and siting of distributed generation

(DG) systems has become a key component of power

system planning. With the advancement of

technology and the rise of renewable energy, the

layout of DG projects is no longer a single-

dimensional decision-making process, but a

comprehensive task involving multi-factor

collaborative analysis.

)

2.3 Analysis of Collaborative Planning

Methodological Schemes

First of all, DG initialization refers to the start-up and

construction phases of a distributed generation

project, which involves an in-depth assessment of the

technical, environmental, economic, and social

impacts of the project. A successful DG initialization

plan not only ensures the smooth implementation of

the project, but also lays a solid foundation for stable

operation in the future.

)

Site selection was a crucial step in the DG project.

Proper siting not only ensures efficient distribution

and use of energy, but also maximizes economic

benefits while minimizing social and environmental

costs. Therefore, the site selection process must take

into account multiple aspects such as geographical

location, environmental impact, policies and

regulations, market demand, network access, and

cost-effectiveness.

)

In DG initialization and site selection,

collaborative analysis methods are particularly

important. Synergy means that the various elements

of decision-making are not considered in isolation,

but are interrelated and interactive. For example, an

environmental impact assessment should consider not

only the direct impact of the construction and

operation phases of the project, but also its potential

impact over its entire life cycle.

)

Economic assessment is equally complex,

including not only initial investment, operating costs,

and earnings projections, but also policy incentives,

the time value of capital flows, and long-term market

dynamics. The social impact assessment takes into

account the direct and indirect impacts of the project

on the lives of local residents, such as noise,

landscape change and employment opportunities.

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INCOFT 2025 - International Conference on Futuristic Technology

458

(10)

Another important aspect is technical analysis,

which involves the selection, performance, reliability

and impact of DG systems on the existing power

system. Technological advancements have provided

more options for DG projects, such as wind power,

solar photovoltaics, small-scale hydropower, and

biomass, each with its own unique advantages and

limitations.

3 OPTIMIZATION STRATEGIES

FOR COLLABORATIVE

PLANNING METHODS

Network access was another key factor in the location

of the DG. Since distributed generation often needs to

be connected to the main grid, the capacity, stability

and acceptability of the grid become technical

parameters that must be considered. A reasonable

network access scheme can ensure the smooth

connection of DG to the grid and avoid instability or

damage to the power grid.

4 PRACTICAL EXAMPLES OF

COLLABORATIVE PLANNING

APPROACHES

4.1 Introduction to Collaborative

Planning Methods

In conclusion, the synergistic analysis of DG

initialization and site selection requires us to adopt a

comprehensive and systematic way of thinking,

integrate various factors, and find the best solution

through accurate calculations and scientific decision-

making methods. This requires not only specialized

knowledge and skills, but also interdisciplinary

cooperation and efficient exchange of information.

As the energy landscape continues to change in

the future, DG projects will play an increasingly

important role.

Table 1: Collaborative planning approach requirements

Scope of

application

Grade Accuracy Collaborative

planning

roach

Source-

network-load

collaborative

planning

orith

I 85.00 78.86

II 81.97 78.45

Source-

network-load

collaborative

planning

model

I 83.81 81.31

II 83.34 78.19

Source-

network-load

collaborative

planning

strate

I 79.56 81.99

II 79.10 80.11

Data mining

theory

Analyse

Distribution

network

DG initialise

Collaborative

planning

Site selection

Net charge

Figure 1: The analysis process of the collaborative planning

method

Through effective synergistic analysis, we can

ensure that the initialization and site selection of DG

projects are more scientific, rational and efficient, so

as to promote the use of renewable energy, improve

energy security, reduce environmental impact, and

make positive contributions to the sustainable

development of social economy.

4.2 Collaborative Planning Methods

In today's business environment, Data General (DG)

companies face stiff competition and ever-changing

market conditions. In this context, there is a subtle but

profound relationship between the DG initialization

process, i.e., the initial setup, configuration and start-

up of a company, and its location strategy.

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Research on Source-Load Collaborative Planning Method of Active Distribution Network Based on DG Initialization Site Selection

459

Table 2: Overall picture of the collaborative planning

approach scenario

Category Random

data

Reliability Analysi

s rate

Source-network-

load collaborative

lannin

orithm

85.32 85.90 83.95

Source-network-

load collaborative

lanning model

86.36 82.51 84.29

Source-network-

load collaborative

lannin

strate

84.16 84.92 83.68

Mean 86.84 84.85 84.40

X6 83.04 86.03 84.32

P=1.249

4.3 Collaborative Planning Methods

and Stability

This relationship not only affects the operational

efficiency of the enterprise, but also directly relates to

many aspects such as enterprise cost management,

market expansion and even brand image.

Figure 2: Collaborative programming methods for different

algorithms

First of all, the core of DG initialization is to

ensure that the company's basic framework can be

adapted for future development. This involves

enterprise resource planning (ERP), supply chain

management, human resource allocation, and

technological innovation. In this process, site

selection became a decisive factor. A strategic

location can provide DG with easy access to logistics,

attract highly qualified talent, and access to a wider

network of customers and partners. Therefore, the

success of DG initialization depends to a large extent

on its ability to establish its own base of operations in

a favorable geographical location.

Table 3: Comparison of the accuracy of collaborative

planning methods of different methods

Algorith

Surve

y data

Collaborativ

e planning

approach

Magnitud

e of

change

Erro

initialize

s site

selection

85.33 85.15 82.88 84.9

Particle

swarm

arithmeti

85.20 83.41 86.01 85.7

P 87.17 87.62 84.48 86.9

Furthermore, DG's location decision is closely

linked to its long-term development strategy. A

forward-looking site would provide DG with room to

expand, both physically and marketably.

Figure 3: DG Initialization Site Selection Collaborative

Planning Method

For example, if DG chooses to set up its

headquarters in a science and technology park, it will

not only provide sufficient technical support and

talent for its R&D activities, but also enhance its

competitiveness and influence in the industry. In

addition, such a location can also bring preferential

policies to DG, such as tax exemptions, financial

support, etc., which are advantages that cannot be

ignored in the process of DG initialization.

4.4 Rationality of Collaborative

Planning Methods

However, site selection is not a simple decision-

making process. It requires a comprehensive

consideration of various factors, including

transportation accessibility, labor costs, local policy

environment, market demand analysis, etc. DG's in-

depth research and accurate judgment in these aspects

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460

will directly affect the efficiency and cost of its

initialization.

Figure 4: Collaborative programming methods for different

algorithms

Finally, DG also needs to consider its brand

positioning and market image. A good location can

enhance the brand value of DG and attract more

customer attention.

4.5 The Effectiveness of Collaborative

Planning Approaches

In summary, the relationship between DG

initialization and site selection is complex and close.

A reasonable location strategy can provide a solid

foundation for the initialization of DG and help

enterprises occupy an advantageous position in a

highly competitive market.

Figure 5: Collaborative programming methods for different

algorithms

A missiting can lead to increased transportation

costs, brain drain, missed market opportunities, and

even legal risks for non-compliance with

environmental requirements. Therefore, the DG must

treat site selection as a strategic issue during the

initialization phase, rather than just as a simple

administrative task.

Table 4: Comparison of the effectiveness of collaborative

planning methods of different methods

Algorith

Surve

y data

Collaborativ

e planning

approach

Magnitud

e of

change

Erro

initialize

s site

selection

82.21 85.92 84.59 82.8

Particle

swarm

arithmeti

83.73 84.23 84.41 83.5

P 84.20 87.39 84.76 83.9

For example, businesses located in economically

prosperous areas are often perceived as more dynamic

and innovative, which is extremely beneficial for DG

in the market and brand building.

Figure 6: DG initializes the collaborative planning method

of site selection

As a result, companies need to invest in data

management and cleaning to ensure data reliability.

Second, algorithm design and parameterization

require specialized knowledge, which requires the

finance team to have some data analysis capabilities

or work closely with data scientists.

5 CONCLUSIONS

Conversely, a wrong location decision can have a

series of negative impacts on DG, and even affect the

long-term development of the company. As a result,

DG must place a high priority on its site selection

strategy during the initialization process, ensuring

that every decision step supports its business goals

and growth vision. Only in this way will DG be able

Research on Source-Load Collaborative Planning Method of Active Distribution Network Based on DG Initialization Site Selection

461

to establish a strong foothold and succeed in the ever-

changing business world.

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