##  [Distributed Energy Resource Siting and Sizing](/distributed-energy-resource-siting-and-sizing-0) 

 Definition

A planning and optimization technique that determines the optimal locations (siting) and capacities (sizing) of distributed generation and storage units across a distribution network to satisfy technical constraints (voltage limits, thermal ratings, protection), economic objectives (investment and operating cost) and grid‑integration goals (hosting capacity, reliability, congestion relief).

 

 

 

 

 

 





## Principle

Principle

Locational placement and capacity of DER change local injections, affecting node voltages, line loadings, losses and hosting capacity; optimal siting and sizing therefore require solving a constrained, often time‑coupled optimization that balances electrical feasibility, temporal supply–demand profiles and economic criteria.

 

 

 

 

 





## Demonstration

Demonstration

Illustrative planning study — Situation: A residential feeder faces peak overloads and voltage rise during midday with growing rooftop PV adoption. Recognition: Simulation identifies nodes where injections cause voltage violations. Action: An optimization selects a mix of distributed storage sited at specific nodes and curtailed PV capacities to minimize upgrade costs while keeping voltages within limits across daily profiles. Consequence: Network upgrades are deferred and peak overloads mitigated while customer energy services are maintained.

 

 

 

 

## Misapplication

Misapplication

Sizing DER solely by instantaneous peak or by single‑snapshot analysis without accounting for temporal generation/load profiles, network impedance or protection settings; the semantic error is treating siting and sizing as independent scalar decisions rather than a temporally constrained, locational optimization.

 

 

 

 

 





## Consequence

Consequence

Correct siting and sizing can reduce the need for network reinforcement, improve reliability and integrate renewables more effectively; incorrect choices can create reverse power flow, overvoltages, protection miscoordination, or economically inefficient investments.

 

 

 

 

## Reversal

Reversal

When DER are centrally aggregated and controlled as a virtual power plant with system‑level dispatch, purely local siting and sizing solutions can be suboptimal compared with centrally coordinated procurement or market mechanisms that internalize system constraints.

 

 

 

 

 





## Boundary

Boundary

Clearly within: distribution‑scale decisions identifying node locations and rated capacities for PV, batteries, small CHP, and controllable loads. Boundary case: coordinated multi‑feeder siting that interacts with substation limits. Clearly outside: transmission‑scale generator siting, or purely market investment decisions that ignore network constraints.

 

 

 

 

 





## Semantic Tension

Semantic Tension

Local Technical Optimization ↔ Customer/Market Economics — a technically optimal siting may conflict with individual customer economics or commercial deployment preferences; resolving this tension requires regulatory or market instruments.

 

 

 

 

 





## Synthesis

Synthesis

Siting and sizing is a constrained locational optimization that must integrate temporal generation/load dynamics, electrical network effects and economic objectives; treating it as a single‑snapshot or device‑centric problem risks damaging technical and economic outcomes.