20212021 IEEE Power & Energy Society General Meeting (PESGM)Requires access

On Peak Shaving and Load Shifting in Distribution Systems: Cost Saving vs Peak Load Reduction

Yifei Guo, Zhaoyu Wang

Open publisher page 3 citations

Abstract

Optimal peak shaving and load shifting on distribution feeders have various objective settings, e.g., saving energy costs, lowering peak load, narrowing peak-valley load difference, etc. Since these settings result in different reshaped load profiles, there may exist conflict between energy cost saving and peak load reduction. This paper mathematically elaborates the impacts of objective settings by deriving the closed-form solutions of several simplified optimization programs. The results reveal that any one-sided (or “skewed”) settings may lead to either undesired peak load or poor cost savings if the peaks of price and load do not coincide. Further, we propose a novel mathematically manipulated objective function and prove it can better balance the cost reduction and peak shaving.

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What this paper is about

Optimal peak shaving and load shifting on distribution feeders have various objective settings, e.g., saving energy costs, lowering peak load, narrowing peak-valley load difference, etc. Since these settings result in different reshaped load profiles, there may exist conflict between energy cost saving and peak load reduction. This paper mathematically elaborates the impacts of objective settings by deriving the closed-form solutions of several simplified optimization programs. The results reveal that any one-sided (or “skewed”) settings may lead to either undesired peak load or poor cost savings if the peaks of price and load do not coincide. Further, we propose a novel mathematically manipulated objective function and prove it can better balance the cost reduction and peak shaving.

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Available abstract

Optimal peak shaving and load shifting on distribution feeders have various objective settings, e.g., saving energy costs, lowering peak load, narrowing peak-valley load difference, etc. Since these settings result in different reshaped load profiles, there may exist conflict between energy cost saving and peak load reduction. This paper mathematically elaborates the impacts of objective settings by deriving the closed-form solutions of several simplified optimization programs. The results reveal that any one-sided (or “skewed”) settings may lead to either undesired peak load or poor cost savings if the peaks of price and load do not coincide. Further, we propose a novel mathematically manipulated objective function and prove it can better balance the cost reduction and peak shaving.

Key concepts: Reduction (mathematics), Load distribution, Peaking power plant, Peak load, Cost reduction, Computer science, Automotive engineering, Electrical engineering

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